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首页> 外文会议>2015 5th International Conference on Electric Utility Deregulation and Restructuring and Power Technologies >Multi-types of distributed generators planning based on free search algorithm
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Multi-types of distributed generators planning based on free search algorithm

机译：基于自由搜索算法的多种类型的分布式发电机规划

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Distributed generators (DG) brings about great environmental benefits which makes it worth researching. In order to optimize the grid-connected positions and capacities of various types of DG, a multi-objective model is established. The total generation cost of DG, the network loss and static voltage stability indices are synthetized in the model. Additionally, a kind of improved multi-objective free search (IMOFS) optimization method is proposed. This algorithm adaptively adjusts searching radius and step to improve searching efficiency. Ac cording to the period of evolution, the previous searching radius and step do not change much in searching for the overall situation, while they change relatively greatly in the later stage in local exploration by the algorithm. At the same time, in order to make the distribution of Pareto front more even, dynamic adaptive mesh strategy is adopted to maintain the non-dominated set, thus good candidate schemes are provided for terminal decision.
机译：分布式发电机（DG）带来了巨大的环境效益，值得进行研究。为了优化各种类型DG的并网位置和容量，建立了多目标模型。该模型综合了DG的总发电成本，网络损耗和静态电压稳定性指标。另外，提出了一种改进的多目标自由搜索（IMOFS）优化方法。该算法自适应地调整搜索半径和步长以提高搜索效率。根据演化时期，在寻找整体情况时，先前的搜索半径和步长变化不大，而在局部探索的后期，通过算法，它们的变化相对较大。同时，为了使Pareto前沿的分布更加均匀，采用动态自适应网格策略来维护非主导集，从而为终端决策提供了良好的候选方案。

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